|Publication number||US7996188 B2|
|Application number||US 11/466,391|
|Publication date||9 Aug 2011|
|Filing date||22 Aug 2006|
|Priority date||22 Aug 2005|
|Also published as||US8229707, US20080228444, US20120004859|
|Publication number||11466391, 466391, US 7996188 B2, US 7996188B2, US-B2-7996188, US7996188 B2, US7996188B2|
|Inventors||David Olson, Collin A. Rich, Clement James Goebel, III|
|Original Assignee||Accuri Cytometers, Inc.|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (43), Referenced by (18), Classifications (11), Legal Events (6)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This application claims the benefit of U.S. Provisional Application No. 60/710,102, entitled “User Interface for a Flow Cytometer System” and filed on 22 Aug. 2005, which is incorporated in its entirety by this reference.
The present invention relates generally to the field of flow cytometers, and more particularly to user interfaces in the field of flow cytometers.
A typical flow cytometer detector has a limited collection range. In quantitative terms, the collection range for a typical flow cytometer with a photomultiplier tube is approximately four decades, whereas the signal range of the objects may span more than five decades across experiments. In simple terms, the collection range of a typical flow cytometer is smaller than the signal range of the objects. For this reason, the typical detector is supplied with a gain level for the photomultiplier tubes and/or an amplifier. Detectors typically collect data relative to an object's size (light scatter) or brightness (fluorescence); both types of data are often collected on each object detected. To collect signals from small or faint objects, the gain level is increased. With an increased gain level, however, the signals from large or bright objects are too intense to be collected. To collect signals from large or bright objects, the gain level is decreased. With a decreased gain level, however, the signals from small or faint objects are too weak to be collected.
As shown in
The limitations of the user interface of typical flow cytometer systems have at least four disadvantages: (1) the expenditure of valuable user time spent on the gain-setting process to ensure it is set correctly; (2) the requirement of significantly more sample to determine the proper gain settings (i.e. more sample is used setting the gain than is actually used in the data collection run), (3) the potential loss of valuable data because the user incorrectly anticipated the actual signal range and a portion or more of the input signals are outside the user-set “active” dynamic collection range and are not collected; and (4) the inability to observe and “undo” changes in user-set gain/scaling settings without running additional samples.
As flow cytometer systems incorporate features that significantly increase the collection ranges to a range that approaches the object signal ranges (e.g. broad dynamic range flow cytometers), there will be a need in the flow cytometer field to create a new and improved flow cytometer user interface that avoids or minimizes one or more of these disadvantages. This invention provides such new and improved flow cytometer user interface.
The following description of the preferred embodiment of the invention is not intended to limit the invention to this preferred embodiment, but rather to enable any person skilled in the art of flow cytometers to make and use this invention.
The preferred embodiment of the invention extracts data from the full dynamic range of a flow cytometer in a single run, and then manipulates scaling and/or culling factors across the full dynamic range after the data have been collected. The data of the full dynamic range are collected and stored in raw or unmodified form during the acquisition step and the user interface can display the unmodified data and/or modified data. Because scaling and/or culling factors can be applied after the acquisition step is complete, the user interface facilitates real-time comparisons between the raw and modified data on a single, unique sample run. Scaling and/or culling can be adjusted or undone without the need to re-run pilot samples, which saves time, reduces the amount of sample required, and eliminates the potential of lost data due to incorrect gain settings.
As shown in
The user interface of the preferred embodiment may be coupled to any suitable diagnostic and/or analysis system. In the preferred embodiment, the user interface is in electronic communication with an advanced flow cytometer that has a collection range that approaches the total detected object signal range (e.g. broad dynamic range flow cytometers). While the advanced flow cytometer may be any suitable flow cytometer system, it is preferably an advanced flow cytometer as described in U.S. Patent Publication No. 2006/0219873, entitled “Detection System for a Flow Cytometer” and filed on 31 Mar. 2006, which is incorporated in its entirety by this reference. In an alternative embodiment, the user interface is in electronic communication with a composite of several narrow dynamic range flow cytometers.
In the preferred embodiment, the first step of ‘running the sample and saving all collected data’ (102) includes the collection (i.e., acquisition) and electronic storage of the full dynamic range of input signals (in raw, unmodified format) from a flow cytometer sample. The full dynamic range of input signals is preferably defined as the range of input signals that provides a 1:100,000 ratio, and more preferably a 1:1,000,000 ratio, between the faintest objects and the brightest objects. The full dynamic range of input signals is preferably captured by a 24bit process, which translates to roughly 16,700,000 levels of information, but may alternatively be captured by any suitable process. Preferably, the captured data includes an error rate induced by electric noise of less than one-percent. In the preferred embodiment, the data are collected in a raw, unmodified format without the use of, or the adjustment in, the gain level of the detector. The collection of the data in this manner eliminates the expenditure of valuable user time and avoids the potential loss of valuable data through misconfiguration of the system.
The second step of ‘viewing the raw data’ (104) permits the user to observe the raw data that has been collected and stored from the sample run and identify the anticipated appropriate modifications for the sample. In the preferred embodiment, the user interface presents the raw data after the acquisition is complete. In an alternative embodiment, the user interface presents the raw data during the acquisition step. In a first “local” variation of the preferred embodiment, the original, raw data set to be viewed is acquired from a flow cytometer coupled to the user interface; in a second “remote” variation, the original data set is acquired from an electronic storage medium. When the user interface is coupled to a broad dynamic range flow cytometer, as in the preferred embodiment, the user interface can display data from greater than four decades of signal.
The third step of ‘modifying the raw data’ (106) permits the user to manipulate (e.g. scale and/or cull) the data collected across the full dynamic range of input signals from the flow cytometer sample. In this step, the user interface permits the user to perform real-time comparisons between the raw and modified data on a single, unique sample run. Additionally, scaling and/or culling can be adjusted or undone without the need to re-run pilot samples allowing multiple adjustments on the same initial data set.
In the preferred embodiment, the user scales and/or culls the raw data to select a subset of signals that corresponds to the desired sample population. The user is permitted to apply gain and scaling factors to the acquired data. This is performed independently of the acquisition step and permits the user to adjust the bounds of the data. In an alternative embodiment, the user interface automatically scales and/or culls the raw data based on an appropriate algorithm. In this alternative embodiment, the user interface may accept a user command that corresponds to, or identifies, the desired sample population. The modifying of raw data preferably occurs after data acquisition is complete, and multiple signal gain/scaling adjustments can be made on a single, unique data set.
The user interface of the preferred embodiment may be virtual, physical, or any suitable combination. In the virtual variation, the knobs, sliders, and other controls are shown only on a display and not in a physical unit. The controls, whether virtual or physical, permit the single, unique data set to be modified in a step-wise, sequential fashion. Alternatively, the user interface may permit the single, unique data to be repeatedly or iteratively modified. Scaling is preferably applied hierarchically based on forward scatter, which can be expanded to include any or all of the available data channels (scatter and fluorescent) in a progressive fashion. Scaling may, however, be applied in any suitable manner.
Any number of subsets of data can be generated that correspond to one or more sample populations contained within the raw data set. Preferably, the user interface permits each subset (i.e. modification) of the raw data and the settings used to generate the desired subset of data to be individually saved, recorded, and identified. Alternatively, the user interface may permit subsets of raw data that are generated by sequential or iterative modifications and the settings used to generate the desired subset of data to be saved and identified at each iteration and in their totality.
In the preferred embodiment, the user interface utilizes one or more graphical, menu-driven formats that can accept and display data sets, such as those from a flow cytometer with broad dynamic range. In an alternative embodiment, the user interface utilizes a numerical display format. The user interface permits the application of scaling and/or culling factors to the original data set to modify its display representation. In a first variation, the user interface simultaneously presents modified and raw representations of a single data set. In a second variation, the user interface simultaneously presents multiple data sets that can be simultaneously viewed, compared, and analyzed. The user can undo or otherwise alter the modifications of one or more data sets using the menu-driven options.
The user interface of the preferred embodiment represents raw data and modified data using any suitable format, including graphically and numerically. The user interface enables observation of the consequences of scaling and/or culling modifications on a unique data set by simultaneous representation of raw and modified data. In one variation, separate graphs are generated from the raw and modified data and are displayed in separate frames, which preferably represents a preview of the export/print version of the viewed data. In an alternative variation, the raw and modified data are superimposed on one another in the same graph frame, with each data set preferably distinguished by color and/or shading. In yet another variation, the consequences of each modification applied to the raw data in the generation of the modified data are represented in independent planes of the same graph frame, and all modifications can be superimposed.
The fourth step of ‘reviewing and saving the modified settings’ (108) permits the user to identify the modifications made to the original data set and to store the setting(s) used to generate the desired subset of data, thus allowing the user to save both the data and the corresponding scaling and/or culling parameters. The user interface provides virtual instrument settings that can be adjusted, which generate a corresponding subset of data from the raw (i.e. original) data set. The user can repeat the steps of modifying the raw data and saving the desired subset of data and modified settings as many times as necessary and/or desirable, without the need for running additional sample through the flow cytometer. If the user generates the subset of data by making one or more alterations in the virtual settings, the user can access the previously saved alterations made to the subset of data and retrace or “undo” the alterations sequentially. In the preferred embodiment, the user interface will prompt the user to save the modified subset of data, the settings used to generate the data, and any other pertinent information regarding the sample or data acquisition; in an alternative embodiment, the data settings are saved automatically. The user interface can apply hierarchical scaling factors to independent data channels (e.g. scatter channels and fluorescent channels).
The fifth step of ‘exporting the saved data’ (110) permits the user to transfer the original (raw) data set and/or the modified subset of data from the flow cytometer system to a different medium, such as a printout or an electronic file. The data may be transferred to any suitable medium for subsequent viewing, analysis, and/or storage, and the settings used to generate the data and other pertinent information regarding the sample or data acquisition may also be included.
As a person skilled in the art of flow cytometry will recognize from the previous detailed description and from the figures and claims, modifications and changes can be made to the preferred embodiment of the invention without departing from the scope of this invention defined in the following claims.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US4691829||6 Dec 1984||8 Sep 1987||Coulter Corporation||Method of and apparatus for detecting change in the breakoff point in a droplet generation system|
|US5150313||12 Apr 1990||22 Sep 1992||Regents Of The University Of California||Parallel pulse processing and data acquisition for high speed, low error flow cytometry|
|US5204884||18 Mar 1991||20 Apr 1993||University Of Rochester||System for high-speed measurement and sorting of particles|
|US5224058 *||1 May 1990||29 Jun 1993||Becton, Dickinson And Company||Method for data transformation|
|US5270548||31 Jul 1992||14 Dec 1993||The United States Of America As Represented By The United States Department Of Energy||Phase-sensitive flow cytometer|
|US5308990||14 May 1992||3 May 1994||Hitachi, Ltd.||Method for measuring microparticles, quantitative measuring method therefor and instrument for measuring microparticles|
|US5367474||8 Feb 1993||22 Nov 1994||Coulter Corporation||Flow cytometer|
|US5469375||1 Feb 1993||21 Nov 1995||Toa Medical Electronics Co., Ltd.||Device for identifying the type of particle detected by a particle detecting device|
|US5684480||30 Jan 1995||4 Nov 1997||Telefonaktiebolaget Lm Ericsson||Wide dynamic range analog to digital conversion|
|US5883378||30 Jul 1996||16 Mar 1999||Bayer Corporation||Apparatus and methods for transmitting electrical signals indicative of optical interactions between a light beam and a flowing suspension of particles|
|US5981180||11 Oct 1995||9 Nov 1999||Luminex Corporation||Multiplexed analysis of clinical specimens apparatus and methods|
|US6115065||7 Nov 1996||5 Sep 2000||California Institute Of Technology||Image sensor producing at least two integration times from each sensing pixel|
|US6181319||17 Mar 1998||30 Jan 2001||Sysmex Corporation||Method of displaying a scattergram|
|US6710871||9 Jun 1998||23 Mar 2004||Guava Technologies, Inc.||Method and apparatus for detecting microparticles in fluid samples|
|US6778910||26 Feb 2003||17 Aug 2004||Coulter International Corp.||Statistical probability distribution-preserving accumulation of log transformed data|
|US6809804||11 May 2001||26 Oct 2004||Becton, Dickinson And Company||System and method for providing improved event reading and data processing capabilities in a flow cytometer|
|US6816257||28 Aug 2003||9 Nov 2004||Guava Technologies, Inc.||Method and apparatus for detecting microparticles in fluid samples|
|US6897954||20 Dec 2002||24 May 2005||Becton, Dickinson And Company||Instrument setup system for a fluorescence analyzer|
|US7019834||4 Jun 2002||28 Mar 2006||Lockheed Martin Corporation||Tribological debris analysis system|
|US7024316||20 Oct 2000||4 Apr 2006||Dakocytomation Colorado, Inc.||Transiently dynamic flow cytometer analysis system|
|US7106442||29 Apr 2004||12 Sep 2006||Silcott David B||Multi-spectral optical method and system for detecting and classifying biological and non-biological particles|
|US7130046||27 Sep 2004||31 Oct 2006||Honeywell International Inc.||Data frame selection for cytometer analysis|
|US7274316||16 Nov 2005||25 Sep 2007||Luminex Corporation||System and method for managing data from a flow analyzer|
|US7362432 *||13 Jan 2005||22 Apr 2008||Luminex Corp.||Method and systems for dynamic range expansion|
|US20020028434||26 Apr 2001||7 Mar 2002||Guava Technologies, Inc.||Particle or cell analyzer and method|
|US20020080341||19 Dec 2001||27 Jun 2002||Sysmex Corporation||Flow cytometer|
|US20030054558||18 Jul 2002||20 Mar 2003||Katsuo Kurabayashi||Flow cytometers and detection system of lesser size|
|US20030078703 *||18 Oct 2002||24 Apr 2003||Surromed, Inc.||Cytometry analysis system and method using database-driven network of cytometers|
|US20030223061||4 Jun 2002||4 Dec 2003||Lockheed Martin Corporation||Tribological debris analysis system|
|US20040131322||17 Dec 2003||8 Jul 2004||Ye Jing Yong||Enhancing fiber-optic sensing technique using a dual-core fiber|
|US20040143423 *||17 Oct 2003||22 Jul 2004||Leland Stanford Junior University||Methods and systems for data analysis|
|US20040246476||6 Jun 2003||9 Dec 2004||Bevis Christopher F.||Systems for inspection of patterned or unpatterned wafers and other specimen|
|US20050073686 *||13 Aug 2004||7 Apr 2005||Roth Wayne D.||Methods for controlling one or more parameters of a flow cytometer type measurement system|
|US20060015291 *||20 Jun 2005||19 Jan 2006||Leland Stanford Junior University||Methods and systems for data analysis|
|US20060219873 *||31 Mar 2006||5 Oct 2006||Martin Steven M||Detection system for a flow cytometer|
|US20070124089 *||28 Feb 2005||31 May 2007||Jochum Theodore W||System for high dynamic range analysis in flow cytometry|
|US20080228444||22 Aug 2006||18 Sep 2008||David Olson||User interface for a flow cytometer system|
|US20100012853||21 Jan 2010||Parks David R||Method for pre-identification of spectral overlaps within fluorescent dye and detector combinations used in flow cytometry|
|JPS56169978A||Title not available|
|WO2005017499A2||13 Aug 2004||24 Feb 2005||Luminex Corporation||Methods for controlling one or more parameters of a flow cytometer type measurement system|
|WO2005068971A1||13 Jan 2005||28 Jul 2005||Luminex Corporation||Methods and systems for dynamic range expansion|
|WO2005091893A2||28 Feb 2005||6 Oct 2005||Dakocytomation Denmark A/S||System for high dynamic range analysis in flow cytometry|
|WO2010101623A1||2 Mar 2010||10 Sep 2010||Michael Adeeb Thomas||Flow cytometry system and method for applying gain to flow cytometry data|
|Citing Patent||Filing date||Publication date||Applicant||Title|
|US8187888||8 Jul 2011||29 May 2012||Accuri Cytometers, Inc.||Fluidic system for a flow cytometer|
|US8229684||29 Apr 2010||24 Jul 2012||Accuri Cytometers, Inc.||Detection system and user interface for a flow cytometer system|
|US8229707 *||4 Jul 2011||24 Jul 2012||Accuri Cytometers, Inc.||User interface for a flow cytometer system|
|US8262990||16 Aug 2010||11 Sep 2012||Accuri Cytometers, Inc.||Flow cytometer system with unclogging feature|
|US8283177||2 Jun 2009||9 Oct 2012||Accuri Cytometers, Inc.||Fluidic system with washing capabilities for a flow cytometer|
|US8303894||6 Nov 2012||Accuri Cytometers, Inc.||Detection and fluidic system of a flow cytometer|
|US8432541||30 Apr 2013||Accuri Cytometers, Inc.||Optical system for a flow cytometer with an interrogation zone|
|US8445286||7 Nov 2007||21 May 2013||Accuri Cytometers, Inc.||Flow cell for a flow cytometer system|
|US8470246||5 Nov 2012||25 Jun 2013||Accuri Cytometers, Inc.||Detection and fluidic system of a flow cytometer|
|US8507279||2 Jun 2010||13 Aug 2013||Accuri Cytometers, Inc.||System and method of verification of a prepared sample for a flow cytometer|
|US8715573||15 Oct 2007||6 May 2014||Accuri Cytometers, Inc.||Fluidic system for a flow cytometer with temporal processing|
|US8779387||23 Feb 2011||15 Jul 2014||Accuri Cytometers, Inc.||Method and system for detecting fluorochromes in a flow cytometer|
|US9280635||25 Oct 2011||8 Mar 2016||Accuri Cytometers, Inc.||Systems and user interface for collecting a data set in a flow cytometer|
|US9322834 *||27 May 2008||26 Apr 2016||Sysmex Corporation||Sample analyzer, blood analyzer and displaying method|
|US20090006003 *||27 May 2008||1 Jan 2009||Sysmex Corporation||Sample analyzer, blood analyzer and displaying method|
|US20100271620 *||28 Oct 2010||Clement James Goebel||Detection system and user interface for a flow cytometer system|
|US20120004859 *||5 Jan 2012||David Olson||User interface for a flow cytometer system|
|WO2013096137A1 *||14 Dec 2012||27 Jun 2013||Becton, Dickinson And Company||System and method to improve yield of sorted particles|
|U.S. Classification||702/189, 702/21, 702/32, 422/73, 702/45|
|International Classification||G01N15/00, G06F17/40|
|Cooperative Classification||G01N35/00712, G01N15/1429, G01N35/0092|
|23 Jan 2007||AS||Assignment|
Owner name: ACCURI INSTRUMENTS, INC., MICHIGAN
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:OLSON, DAVID C.;RICH, COLLIN A.;GOEBEL, CLEMENT JAMES, III;REEL/FRAME:018793/0555;SIGNING DATES FROM 20070116 TO 20070118
Owner name: ACCURI INSTRUMENTS, INC., MICHIGAN
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:OLSON, DAVID C.;RICH, COLLIN A.;GOEBEL, CLEMENT JAMES, III;SIGNING DATES FROM 20070116 TO 20070118;REEL/FRAME:018793/0555
|7 Aug 2007||AS||Assignment|
Owner name: ACCURI CYTOMETERS, INC., MICHIGAN
Free format text: CHANGE OF NAME;ASSIGNOR:ACCURI INSTRUMENTS, INC.;REEL/FRAME:019659/0157
Effective date: 20070412
|27 Sep 2007||AS||Assignment|
Owner name: VENTURE LENDING & LEASING IV, INC. AND VENTURE LEN
Free format text: SECURITY AGREEMENT;ASSIGNOR:ACCURI CYTOMETERS, INC.;REEL/FRAME:019913/0721
Effective date: 20070919
|27 Sep 2011||CC||Certificate of correction|
|25 Oct 2011||CC||Certificate of correction|
|9 Feb 2015||FPAY||Fee payment|
Year of fee payment: 4